Anthropic shared Q2 financial results and launched enterprise reporting tools that analyze team workflows and costs using internal analytics and surveys, excluding data from default model training.
A new Jellyfish report also shows coding tools represent nearly a third of reviewed code changes.
How the new tools work
The tools combine internal analytics and employee questionnaires to show how projects are progressing over time. The company said that this data will not be used to train its models by default.
In addition to reports, the tools offer suggestions for better results, while the company also creates shared team budgets to manage spending on digital tools.
Economic data and market demand
The announcement was accompanied by financial data showing operating profit in the second quarter, as well as a significant increase in customer revenue comparing the third quarter of 2025 with the corresponding period of 2026.
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Meanwhile, Jellyfish’s survey of 276.000 customers using automated programming tools found that Claude and Anthropic’s model-based tools account for nearly a third of proposed code changes submitted for review. Spending on these tools has increased tenfold since the beginning of the year, reaching about 2% of total engineering costs.
In the broader market, competitors continue their moves, with OpenAI launching the Astra model in the summer, while large artificial intelligence labs are investing in special teams of engineers who are integrated into client businesses in a consultative manner.
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